Showing results (31-40 of 51) with videos related to

Sort By:
Pageof 6
World Neurosurgery|February 1, 2020
The Predictive Value of the HOSPITAL Score and LACE Index for an Adult Neurosurgical Population: A Prospective AnalysisJoseph R Linzey, Rachel L Foshee, Sudharsan Srinivasan, et al.
World Neurosurgery|May 21, 2020
Late Surgical Start Time and the Effect on Rates of Complications in a Neurosurgical Population: A Prospective Longitudinal AnalysisJoseph R Linzey, Rachel L Foshee, Gic-Owens Fiestan, et al.
Acta Neurochirurgica|August 22, 2020
Neurosurgical patients admitted via the emergency department initiating comfort care measures: a prospective cohort analysisJoseph R Linzey, Rachel Foshee, Sudharsan Srinivasan, et al.
World Neurosurgery|December 12, 2018
Young Neurosurgeons Committee of the American Association of Neurological Surgeons: Training Ground for Future Leaders in Organized Neurosurgery in the United States of AmericaJoseph R Linzey, Walavan Sivakumar, Jeremiah N Johnson, et al.
Neurosurgery|December 28, 2020
Length of Stay Beyond Medical Readiness in a Neurosurgical Patient Population and Associated Healthcare CostsJoseph R Linzey, Rachel Foshee, Francine Moriguchi, et al.
The Neuroradiology Journal|April 30, 2021
#RadialFirst and #RadialForNeuro: A descriptive analysis of Twitter conversations regarding transradial accessFaith C Robertson, Joseph R Linzey, Naif M Alotaibi, et al.
World Neurosurgery|August 17, 2018
Predominance of Spinal Metastases Involving the Posterior Vertebral BodyMarissa Guo, Kristen L Kolberg, Eleanor C Smith, et al.
Journal of Neuro-Oncology|December 14, 2017
Development of the CNS TAP tool for the selection of precision medicine therapies in neuro-oncologyJoseph R Linzey, Bernard L Marini, Amy Pasternak, et al.
Journal of Neurosurgery. Spine|March 29, 2024
Development and validation of an artificial intelligence model to accurately predict spinopelvic parametersEdward S Harake, Joseph R Linzey, Cheng Jiang, et al.
Neurosurgical Focus|June 1, 2025
Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohortRushikesh S Joshi, Edward S Harake, Cheng Jiang, et al.
Pageof 6